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AI in Cybersecurity: A Game of Cat and Mouse

The advent of AI in cybersecurity presents a double-edged sword, with the potential for both protection and weaponization. Businesses in 2024 must prepare for the evolving threat landscape, prioritizing proactive measures and strategic partnerships.

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BNN Correspondents
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AI in Cybersecurity: A Game of Cat and Mouse

As the world witnessed the crippling WannaCry ransomware attack in 2017, it was a stark reminder of gaps in cybersecurity, particularly in the UK's public and private sectors. The event, which resulted in global recovery costs between $4 billion to $8 billion, spurred a renewed focus on resilience against cyberthreats. The subsequent NotPetya attack, causing over $10 billion in losses, further underscored the urgency of fortifying cyber defenses.

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AI in Cybersecurity: A Double-Edged Sword

While artificial intelligence (AI) and machine learning (ML) have proven instrumental in identifying and responding to cyber threats, these technologies also present challenges. As demonstrated in DARPA's 2016 Cyber Grand Challenge, AI can employ unique strategies to patch vulnerabilities and create distractions. The winning AI, Mayhem, was a testament to the potential of AI in cybersecurity. However, the democratization of AI and ML technologies poses a significant threat as they can be weaponized by various actors. The UK's National Cyber Security Centre (NCSC) and the U.S. Cybersecurity and Infrastructure Security Agency (CISA) have both emphasized the need to address this potential threat. In fact, the director of CISA equated its significance to that of nuclear weapons.

The Rising Threat of AI-Powered Cyberattacks

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Today, AI is increasingly used to generate sophisticated, adaptive, and difficult-to-detect cyberattacks. Cybercriminals utilize AI to carry out personalized phishing attacks, automate tasks like reconnaissance and creating custom malware, and enforce malware attacks to evade traditional cyber defenses. The rise of AI-powered cybercrime represents a significant risk to organizations, necessitating proactive measures such as monitoring network activities, implementing adaptive cybersecurity measures, developing incident response plans, and strengthening authentication processes.

Businesses in 2024: Preparing for Evolving Cyber Threats

In 2024, businesses must brace themselves for more advanced ransomware attacks, supply chain vulnerabilities, and evolving phishing attempts leveraging AI and ML. There's also an anticipated spike in zero-day exploits and an urgent need to prioritize cloud security and IoT device security. In this ever-changing threat landscape, a multi-faceted approach incorporating advanced technologies, employee training, and strategic partnerships is crucial. An example of such strategic collaboration is the partnership between Accenture and SandboxAQ to deliver AI and quantum computing solutions to identify and remediate cybersecurity vulnerabilities.

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